Title page for etd-0606117-145455


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URN etd-0606117-145455
Author Yu-Cheng Chang
Author's Email Address No Public.
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Department Mechanical and Electro-Mechanical Engineering
Year 2016
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Analyzing the Correlations of Quiet Standing Joint Motion via Kinect Images
Date of Defense 2017-06-29
Page Count 74
Keyword
  • Force plate
  • Kinect
  • Degrees of freedom
  • Correlation coefficient
  • Center of pressure
  • Quiet standing
  • Trunk
  • Abstract By utilizing the joint tracking capability of Kinect, the goal of this study is to develop human postural stability measures by studying the correlation patterns of the body joint motions during quiet standing. This work also uses conventional center of pressure (COP) postural stability measures to verify the effectiveness of the proposed measures.
    The test subjects include fifteen young men who were asked to stand quietly with eyes open and eyes closed. By comparing COP features generated from COP trajectories measured by a force platform and the proposed correlation pattern measures which were computed from the joint motion data collected by the Kinect sensor, this work investigates the associations between the proposed joint motion correlation pattern measures and the conventional COP postural stability measures.
    The proposed joint correlation pattern measures include features that quantify the correlation strength, the changing speed of correlation sign and the relative amount of time that the motions of a pair of joints are positively correlated. The experimental results demonstrate that, similar to some of the most effective COP postural stability features, the differences between the sample means of many of the proposed joint correlation pattern measures of the eyes open and eyes closed conditions are statistically significant. In addition, most of these significant differences occur at the upper main body joints.
    Advisory Committee
  • Lih-Jiun Liaw - chair
  • Shih-chen Fan - co-chair
  • Chen-Wen Yen - advisor
  • Files
  • etd-0606117-145455.pdf
  • Indicate in-campus at 3 year and off-campus access at 3 year.
    Date of Submission 2017-07-07

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